JP7413658B2 - Exercise support system, exercise support device, exercise support method, and exercise support program - Google Patents

Description

The present invention relates to an exercise support system, an exercise support device, an exercise support method, and an exercise support program.

In order to acquire or improve skills in sports such as running, swimming, cycling, golf, etc., it is normal to gradually increase the level of training from a basic level according to the user's physical fitness level. Practice will be held.
For example, in Patent Document 1, a target value is set based on personal information such as the user's age, weight, height, etc., and the target value is increased based on the cumulative exercise time etc. in the training performance based on the training menu presented by the training device. A training device that allows the user to train easily and without losing motivation by correcting the settings to higher or lower values and creating a new training menu based on the corrected target values. technology has been disclosed.

Japanese Patent Application Publication No. 8-52244

By the way, in order to acquire or improve skills in sports, as mentioned above, it is necessary to have users train without forcing themselves and without losing their desire to train. It is also important to steadily acquire (establish) the acquired skills.
For example, when training is conducted under the guidance of a coach, etc., the coach can objectively judge whether or not the trained skills have been acquired. In many cases, it is difficult for the person conducting the training to judge whether or not the skill has been acquired.

As a result, you may end up training at a high level because you have not acquired a certain skill, and you may not be able to perform training at that high level and your skills will not improve as expected, or you may force yourself to train at a high level. This may cause injury or malfunction.
Furthermore, even if a person has already acquired a certain skill, he or she may think that he or she has not yet acquired that skill, and may not be able to efficiently level up the skill.

The present invention was made in view of the above problems, and an object of the present invention is to provide an exercise support system, an exercise support device, an exercise support method, and an exercise support program that enable efficient sports training. shall be.

In order to solve the above problems, the exercise support system according to the present invention includes:
a motion sensor device that obtains motion data regarding a user's motion state during training at a current training level;
a sleep sensor device that acquires sleep data regarding a user's sleep state during sleep after training;
an analysis device that analyzes the sleep data acquired by the sleep sensor device, calculates information regarding the length of REM sleep, and sets a next training level based on the calculated information;
a presentation device that presents training content to a user according to the level set by the analysis device for the next training;
Equipped with
The information regarding the length of the REM sleep is calculated as the REM sleep time calculated as the total period of REM sleep and the ratio of the REM sleep time to the sleep time that is the length of the period in which the user was sleeping. at least one with REM sleep percentage;
The analysis device changes the level of the next training from the current training level when the REM sleep time is equal to or greater than the threshold regarding the REM sleep time, or when the REM sleep proportion is equal to or greater than the threshold regarding the REM sleep proportion. It is characterized by being raised and set.

The exercise support device according to the present invention includes:
a motion sensor unit that acquires motion data regarding the motion state of the user during training;
a sleep sensor unit that acquires sleep data regarding the user's sleep state during sleep after training at the current training level;
an analysis unit that analyzes the sleep data acquired by the sleep sensor unit, calculates information regarding the length of REM sleep, and sets a next training level based on the calculated information;
a presentation unit that presents training content corresponding to the level set by the analysis unit to the user for the next training;
Equipped with
The information regarding the length of the REM sleep is calculated as the REM sleep time calculated as the total period of REM sleep and the ratio of the REM sleep time to the sleep time that is the length of the period in which the user was sleeping. at least one with REM sleep percentage;
When the REM sleep time is equal to or greater than a threshold regarding REM sleep time, or when the REM sleep proportion is equal to or greater than a threshold regarding REM sleep proportion, the analysis unit changes the level of the next training from the current training level. It is characterized by being raised and set.

The exercise support method according to the present invention includes:
Obtaining behavioral data regarding the user's behavioral state during training,
Obtain sleep data regarding the user's sleep state during sleep after training at the current training level,
The REM sleep time is calculated as the total period of REM sleep by analyzing the acquired sleep data, and the REM sleep time is calculated as the ratio of the REM sleep time to the sleep time , which is the length of the period in which the user was sleeping. Information regarding the length of REM sleep, which is at least one of the sleep ratio, is calculated, and the calculated REM sleep time is greater than or equal to a threshold regarding REM sleep time, or the REM sleep ratio is equal to or greater than a threshold regarding REM sleep ratio. If so, set the next training level higher than the current training level,
Presenting training content to the user according to the set level for the next training,
It is characterized by

The exercise support program according to the present invention includes:
to the computer,
obtain behavioral data regarding the user's operational status during training;
Obtain sleep data regarding the user's sleep state during sleep after training at the current training level,
The REM sleep time is calculated as the total period of REM sleep by analyzing the acquired sleep data, and the REM sleep time is calculated as the ratio of the REM sleep time to the sleep time , which is the length of the period in which the user was sleeping. Information regarding the length of REM sleep, which is at least one of the sleep ratio, is calculated, and the calculated REM sleep time is greater than or equal to a threshold regarding REM sleep time, or the REM sleep ratio is equal to or greater than a threshold regarding REM sleep ratio. If so, set the next training level higher than the current training level,
For the next training, the user is presented with training content corresponding to the set level,
It is characterized by

According to the present invention, it becomes possible to perform sports training efficiently.

FIG. 1 is a diagram showing the overall configuration of an exercise support system. FIG. 2 is a block diagram showing the functional configuration of a motion sensor device and a sleep sensor device. FIG. 2 is a diagram illustrating that a server includes multiple databases. FIG. 3 is a diagram showing an example of a list of thresholds related to REM sleep time and thresholds related to REM sleep ratio. It is a flowchart explaining each process performed by a portable information terminal. FIG. 4 is a diagram showing (A) an example of a training menu and (B) an example of training levels displayed on a mobile information terminal. It is a diagram showing an example of a sleep diagram, and is a diagram illustrating periods of REM sleep, etc. FIG. 2 is a block diagram showing the configuration of an exercise support device. It is a figure showing the example of the threshold value etc. regarding sleep time.

DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments of an exercise support system, an exercise support device, an exercise support method, and an exercise support program according to the present invention will be described with reference to the drawings.
Note that the present invention is not limited to the illustrated example. In addition, although the following explanation will be given using an example of training for running, the present invention is applicable not only to running but also to sports in general such as swimming, cycling, and golf as mentioned above. It can be applied when training.

FIG. 1 is a diagram showing the overall configuration of an exercise support system according to this embodiment.
As shown in FIG. 1, the exercise support system 1 includes a motion sensor device 10, a sleep sensor device 20, a server 30, and a mobile information terminal 40. In this embodiment, the mobile information terminal 40 is configured to function as an analysis device and a presentation device, which will be described later.

The motion sensor device 10 includes a wearable sensor that can be worn on the waist of the user A during training, for example.
The motion sensor device 10 has various built-in sensors capable of sequentially detecting the movements of the user A wearing the device, and has motion data related to the motion state of the user A during training (for example, up and down, left and right, front and back). acceleration in each direction, body orientation, pitch, distance traveled, etc.). The acquired motion data is then transmitted to the mobile information terminal 40 (in this case, the mobile information terminal 40 serving as the presentation device).

The sleep sensor device 20 includes a smart wristband that can be worn on the wrist or the like during sleep, an earphone-type hearable terminal that can be worn on the ear, and the like. Note that it may be worn at times other than when sleeping.
The sleep sensor device 20 has various built-in sensors capable of sequentially detecting the movement, pulse, etc. of the user A wearing the device, and sleep data regarding the user's sleep state during sleep after training is completed. (For example, body movements, pulse, etc.) are acquired. The acquired sleep data is then transmitted to the mobile information terminal 40 (in this case, the mobile information terminal 40 serving as the presentation device).

FIG. 2 is a block diagram showing the functional configuration of the motion sensor device 10 and the sleep sensor device 20.
As shown in FIG. 2, the motion sensor device 10 and the sleep sensor device 20 include control units 11 and 21, storage units 12 and 22, various sensors 13 and 23, communication units 14 and 24, an operation unit 15, 25, and power supply units 16 and 26. Note that in addition to this, other functional units such as a display screen and a speaker may be provided.

The control units 11 and 21 are composed of a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like. It is also possible to configure the control units 11 and 21 with a GPU (Graphics Processing Unit), a GPGPU (General-purpose computing on graphics processing units), or the like.
The control units 11 and 21 read system programs and various processing programs stored in the ROM and storage units 12 and 22 (to be described later), expand them to the RAM, execute various processes according to the expanded programs, and operate the motion sensor. The operation of each part of the device 10 and the sleep sensor device 20 is controlled.

The storage units 12 and 22 are composed of nonvolatile semiconductor memories, hard disks, and the like.
The storage units 12 and 22 store various programs executed by the control units 11 and 21 and parameters necessary for executing processing by the programs, as well as various data measured by the various sensors 13 and 23 (i.e., movement data and sleep data) are temporarily stored.

As various sensors 13 and 23, the motion sensor device 10 is equipped with an activity sensor, a gyro sensor, etc. necessary for acquiring motion data, and the sleep sensor device 20 is equipped with a sensor necessary for acquiring sleep data. It is equipped with a pulse sensor, activity sensor, etc.
In addition, other sensors such as an acceleration sensor and a GPS (Global Positioning System) sensor may be installed.

The communication units 14 and 24 are for transmitting the motion data and sleep data acquired by the motion sensor device 10 and the sleep sensor device 20 to the mobile information terminal 40, and are for transmitting the motion data and sleep data acquired by the motion sensor device 10 and the sleep sensor device 20, based on wireless standards such as Bluetooth (registered trademark). Communication is now possible.
Note that it is also possible to configure the communication units 14 and 24 so that they can receive communications from the mobile information terminal 40 and the like.

The operation units 15 and 25 are composed of input means such as switches and buttons, and are used to start or stop the movement sensor device 10 or the sleep sensor device 20, or to input necessary information to the movement sensor device 10 or the sleep sensor device 20. It is now possible to input into the sleep sensor device 20. If a touch panel is provided on the display screen, it is also included in the operation units 15 and 25.
The power supply units 16 and 26 supply necessary power to each part of the motion sensor device 10 and the sleep sensor device 20 from an internal power source such as a battery (not shown), and when the internal power source is rechargeable, the power source is charged. It is also now being done.

The server 30 (see FIG. 1) is configured of, for example, a server on a cloud.
In this embodiment, the server 30 includes a training list database 31, a sleep analysis database 32, and a running form analysis database 33, as shown in FIG.

In this embodiment, various menus are prepared for training depending on the purpose of training, as described later. For example, if the purpose of training is running, the menu can be set as jogging, 5km completion, 10km completion, half marathon, full marathon (Sub 6, Sub 5, Sub 4), etc. (see Figure 6 to be described later). (See (A)).
Further, in this embodiment, training contents of different levels are set for each training menu.

For example, if the training menu is "jogging", the training contents are level 1 "kick backwards", level 2 "run high in the hips", level 3 "eliminate left and right vibration", level 4 "step forward" ”, Level 5 “Put the foot position directly below the center of gravity” (see FIG. 6(B), which will be described later).
Note that the training content for each level does not need to be the same in each menu, and the training content for each level is set according to the menu. Further, the number of levels may be the same or different for each menu.

The training list database 31 of the server 30 stores video data, audio data, etc. that explain the training content for each level of training content in each training menu.
Then, when the training menu information and level information are transmitted from the mobile information terminal 40, the server 30 retrieves the training list database 31 from the training list database 31, and stores video data, audio data, etc. of the training content corresponding to the menu and level. is read out and transmitted to the mobile information terminal 40.

In addition, the sleep analysis database 32 of the server 30 stores data for sleep analysis, which will be described later. The data for sleep analysis is read from the database 32 for the mobile information terminal 40 and transmitted to the mobile information terminal 40.
The database 32 for sleep analysis has a list of threshold value Trem_th for REM sleep time and threshold value Rrem_th for REM sleep ratio as shown in FIG. Based on the information on the gender and age of user A added to the transmission request from the terminal 40, the threshold value Trem_th regarding the REM sleep time and the threshold value Trem_th regarding the REM sleep rate corresponding to the gender and age are read out and transmitted. Note that the REM sleep time and REM sleep ratio will be explained later.

Furthermore, the database 33 for running form analysis of the server 30 stores data for running form analysis.
When the server 30 receives a request to send data for running form analysis from the mobile information terminal 40, the server 30 reads the data for running form analysis from the running form analysis database 33 and transmits the data to the mobile information terminal 40. It has become.

It should be noted that the motion sensor device 10 transmits the acquired motion data of the user A to the server 30, or transmits evaluation results of the motion state of the user A to the server 30 as described later, and the server 30 receives the transmitted motion data. It is also possible to configure the server 30 to continuously manage user A's training status by storing data, evaluation results, etc.

The mobile information terminal 40 (see FIG. 1) is an information processing device that can be carried by the user A, and is composed of, for example, a smartphone.
In this embodiment, as shown in FIG. 6A, which will be described later, user A can operate the mobile information terminal 40 to select a training menu.

Furthermore, the mobile information terminal 40 is configured to be able to present the user A with training contents corresponding to each level of the menu.
In this embodiment, the training content is presented (displayed in this case) in the form of a video with audio on the screen, but the presentation device may also be configured as an earphone type device, for example. In that case, the training content is presented to user A in audio (in this case, audio is played back).

Furthermore, the mobile information terminal 40 analyzes the sleep data acquired by the sleep sensor device 20 to calculate information regarding the length of REM sleep, and sets the next training level based on the information regarding the calculated sleep length. It is supposed to be done.
Then, the mobile information terminal 40 is configured to present training content to the user A according to the set level for the next training.

As described above, in the present embodiment, the mobile information terminal 40 functions as an analysis device that analyzes sleep data, calculates information regarding the length of REM sleep, and sets the next training level, and a , functions as a presentation device that presents user A with training content according to the level set by the analysis device.
Note that it is also possible to configure the analysis device and the presentation device as separate devices from the mobile information terminal 40.

Next, each process executed by the mobile information terminal 40 will be described with reference to FIG. 5. FIG. 5 is a flowchart illustrating each process executed by the mobile information terminal 40.

As shown in FIG. 5, when the program is started (step S1), the mobile information terminal 40 sends a transmission request to the server 30 with information on the gender and age of user A registered in advance in the mobile information terminal 40. The threshold value Trem_th regarding the REM sleep time and the threshold value Rrem_th regarding the REM sleep rate (see FIG. 4) corresponding to the gender and age group transmitted from the server 30 are obtained and set (step S2).
Note that at this stage, it is also possible to perform personal authentication by having the user A input his/her gender, age, etc., input a password, etc. Furthermore, instead of obtaining threshold values related to REM sleep time etc. from the server 30 each time the program is started, for example, the obtained threshold values may be saved in the mobile information terminal 40 until the user A's age changes. It is also possible to configure the threshold value to be obtained from server A when A's age changes.

Next, the mobile information terminal 40 sets the training menu and level (step S3).
In this embodiment, the mobile information terminal 40 displays a list of training menus on the display screen 41 and allows the user A to select the training menu, as shown in FIG. 6(A), for example. , when user A selects a training menu, the selected menu is set. That is, the menu number M of the selected menu is stored.

In the following, once the training menu selected by user A is set, the mobile information terminal 40 automatically updates the menu to a menu that requires more advanced skills as the training progresses. (Specifically, it is configured to perform the process of incrementing the menu number M (step S11) as described later), but the user A can select the training menu at any time. It is also possible to configure it so that it can be selected.

Furthermore, in the present embodiment, when a training menu is set, the mobile information terminal 40 is configured to automatically set the training level in the menu to 1 (that is, the level value L is automatically set to 1). For example, as shown in FIG. 6(B), a list of training contents for each level in the training menu is displayed on the display screen 41 so that user A can make a selection. (In other words, it is also possible to configure so that the user A can select the level value L by himself/herself.)

After setting the training menu and level in step S3, the mobile information terminal 40 subsequently transmits the set training menu information (menu number M) and level information (level value L) to the server 30, Based on the video data, audio data, etc. of the training content corresponding to the menu and level transmitted from the server 30, a video with audio is played on the display screen 41 to present the training content to the user A and provide guidance. (Step S4).
User A performs training according to this guidance.

Subsequently, the mobile information terminal 40 grasps the operational state of the user A based on the operational data transmitted from the operational sensor device 10, and determines whether the user A has performed training (step S5).
At this time, the mobile information terminal 40 causes the server 30 to transmit running form analysis data stored in the running form analysis database 33, and based on the data, the user A's operating state is set at the set level. Evaluate user A's movement state by determining whether it meets the movement state conditions required in It is also possible to configure it to support user A.

When the mobile information terminal 40 determines that the user A has performed training (step S5; YES), the mobile information terminal 40 transmits the motion data transmitted from the motion sensor device 10 to the server 30 and stores it.

Subsequently, the mobile information terminal 40 determines whether or not the user A has slept based on the sleep data transmitted from the sleep sensor device 20 (step S6), and when determining that the user A has slept, (Step S6; YES), the sleep data acquired by the sleep sensor device 20 is analyzed.
Note that whether user A is sleeping or awake is determined by determining user A's body movements (including the presence or absence of body movements) from the value of the activity sensor installed in the sleep sensor device 20. be able to. Furthermore, in the present embodiment, the mobile information terminal 40 is configured to determine whether or not the user A has slept as described above. For example, when the user A wakes up after sleeping, It is also possible to configure the sensor device 20 to transmit sleep data to the mobile information terminal 40.

On the other hand, it can be determined from the value of the pulse sensor installed in the sleep sensor device 20 whether or not the sleep state of the user A is REM sleep.
In other words, a person's heart rate decreases as sleep deepens, and during non-REM sleep, the pulse rate decreases and becomes regular, whereas when sleep becomes light and the person enters REM sleep, the pulse rate increases during REM sleep. It becomes irregular. Therefore, by looking at the increase/decrease and regularity (irregularity) of this pulse, it can be determined whether the sleep state of user A is REM sleep.

Therefore, the mobile information terminal 40 uses this to analyze the sleep data (activity amount, pulse rate) acquired by the sleep sensor device 20 and calculates information regarding the length of REM sleep. In this embodiment, as information regarding the length of this REM sleep, the REM sleep time and REM sleep ratio are calculated (function as an analysis device).
Hereinafter, a method of calculating the REM sleep time and the REM sleep ratio will be specifically explained with an example.

For example, the period during which the user A was sleeping is determined based on the value of the activity sensor among the sleep data transmitted from the sleep sensor device 20, and the length of the period is calculated as the sleeping time Ts.
Also, among the sleep data transmitted from the sleep sensor device 20, the depth of sleep of user A is determined based on the increase/decrease and regularity (irregularity) of the pulse sensor value during that period, and a sleep diagram (hypnogram) is calculated. ), it will look like the one shown in FIG. 7, for example. The period when the sleep stage is R corresponds to the period of light REM sleep. Note that sleep stages N1 to N4 represent the depth of non-REM sleep.

As information regarding the length of REM sleep, the total period of REM sleep, that is, the total of T1 to T4 in FIG. 7, can be calculated as REM sleep time Trem.
Trem=T1+T2+T3+T4...(1)
Note that the number of times that REM sleep appears during the sleep time Ts is not limited to four, and the period of REM sleep is totaled by the number of times that REM sleep appears.

Further, as information regarding the length of REM sleep, a REM sleep ratio Rrem can also be calculated.
The REM sleep ratio Rrem (%) is calculated as the ratio of the REM sleep time Trem to the sleep time Ts.
Rrem=100×Trem/Ts…(2)
That is, the aforementioned REM sleep time Trem corresponds to the absolute length of REM sleep, so to speak, and is a value representing the amount of REM sleep. Further, the REM sleep ratio Rrem corresponds to the relative length of REM sleep, and is a value representing the quality of sleep (that is, the ratio of REM sleep in sleep).

In this embodiment, the mobile information terminal 40 analyzes the sleep data acquired by the sleep sensor device 20 to create a sleep diagram as shown in FIG. and the REM sleep ratio Rrem is calculated (step S7).
Note that it is also possible to configure so that only one of the REM sleep time Trem and the REM sleep ratio Rrem is calculated as information regarding the length of REM sleep. Further, for example, it is also possible to configure the information regarding the length of REM sleep to be the length of the longest period among the periods T1 to T4 of REM sleep.

The mobile information terminal 40 then sets the next training level based on the calculated information regarding the length of REM sleep.
Specifically, the mobile information terminal 40 determines that the calculated REM sleep time Trem is equal to or greater than the threshold value Trem_th regarding the REM sleep time obtained from the server 30 described above, and the calculated REM sleep ratio Rrem is the threshold value regarding the REM sleep ratio. If it is equal to or greater than Rrem_th (step S8; YES), the level value L mentioned above is incremented (step S9).

During sleep, memories are organized in the brain, and the skill of the sport (in this case, running) that you trained for is stored as procedural memory (also called non-declarative memory, etc.) during REM sleep.
Therefore, in the present invention, it is determined whether or not user A has had enough REM sleep after training, and if user A has had enough REM sleep, the skills of the sport that user A trained for are It has come to be determined that the

In the present embodiment, as a criterion for determining whether or not user A has had enough REM sleep during sleep after training, as described above, the REM sleep time Trem must be equal to or greater than the threshold value Trem_th regarding the REM sleep time. , and that the REM sleep rate Rrem is greater than or equal to the threshold value Rrem_th regarding the REM sleep rate.
In other words, if the total period of REM sleep (REM sleep time) is sufficiently long and the ratio of REM sleep time to the total sleep time is sufficiently large, it is possible for user A to have sufficient REM sleep during sleep after training. It is configured to determine that

Note that the criteria for determining whether or not user A has had enough REM sleep during sleep after training is that the REM sleep time Trem is equal to or greater than the threshold value Trem_th for the REM sleep time, and that the REM sleep rate Rrem is related to the REM sleep rate. It is also possible to configure such a configuration that one of the following conditions is satisfied: being equal to or greater than the threshold Rrem_th.
Further, in this embodiment, as information regarding the length of REM sleep, we focused on the REM sleep time Trem and the REM sleep ratio Rrem as described above, but in addition to this, for example, each period of REM sleep (in Figure 7 It is also possible to configure the system to determine whether user A has had enough REM sleep during sleep after training by focusing on the length of the longest period (see T1 to T4). .

Furthermore, it is generally said that people get enough sleep when they have four cycles of non-REM sleep (90 minutes) and REM sleep (90 minutes), or about 6 hours of sleep. To judge whether or not user A has had enough REM sleep during sleep, the number of REM sleeps is 4 times in 6 hours of sleep, and the timing of REM sleep is in 90-minute cycles. It is also possible to configure the system so that one or both of these conditions are satisfied.
Note that the above-mentioned 90-minute period varies depending on the individual, and may be changed as appropriate depending on the individual.

As described above, when the condition of step S8 is satisfied (step S8; YES), the mobile information terminal 40 increments the level value L (step S9).
In this way, the mobile information terminal 40 sets the next training level (level 2 in this case) based on the information regarding the calculated REM sleep length (functions as an analysis device). .

For example, when the level value L is set to 1 in the process of step S3 above, when the level value L is incremented in step S9, the level value L becomes 2.
In the example of FIG. 6(B) when menu "1. Jogging" is selected, if level 1 "kick backwards" is set in step S3, the level value L is set in step S9. When it is incremented, it will move to level 2 ``Run with high hips''.

In this case, the menu "1. Jogging" further has levels 3 to 5 (see Figure 6 (B)), so even if the training level moves from level 1 to level 2 as described above, the training It cannot be said that the menu "1. Jogging" has been completed.
Therefore, in this case, the mobile information terminal 40 determines that the menu (in this case, "1. Jogging") is not completed (step S10; NO), returns to the process of step S3, and returns to the process with menu number M ( In the above example, M=1) and level value L (in the above example, L=2) are set, and the training menu and level are set for the next training (step S3).

Then, in the subsequent step S4, the mobile information terminal 40 presents the user A with the training content corresponding to the set level when the next training is performed (functioning as a presentation device). .

On the other hand, if the mobile information terminal 40 determines that the condition is not satisfied in the determination process of step S8 described above (step S8; NO), it does not increment the level value L. That is, in the present embodiment, if at least one of the REM sleep time Trem and the REM sleep ratio Rrem does not reach the thresholds Trem_th and Rrem_th, the REM sleep is not sufficient and user A's trained sports skills are insufficient. It is assumed that the level value L is not changed, and the level value L is maintained unchanged.
In this way, in this embodiment, based on the information regarding the calculated REM sleep length, if the information regarding the sleep length does not satisfy a predetermined condition, the level value L is not changed, and the next training is performed. level (in this case, level 1) (functions as an analysis device).

In this case as well, it cannot be said that the training menu "1. Jogging" has been completed (step S10; NO), so the mobile information terminal 40 returns to the process of step S3 and returns to the menu number M (in the above example). M=1) and level value L (L=1 in the above example) to set the training menu and level for the next training (step S3). Note that in this case, the training menu and level will not be changed after all.
Then, in the subsequent process of step S4, the mobile information terminal 40 determines that when the next training is performed, the training content will be based on the set level (in this case, the same training content as that presented during the previous training). is presented to user A (function as a presentation device).

Furthermore, when the level value L is incremented in the process of step S9 described above, the mobile information terminal 40 determines that the menu is completed if the level value L exceeds the maximum level value in the menu. (Step S10; YES).
Specifically, for example, when the menu "1. Jogging" (the maximum level value L is 5 (see FIG. 6(B))) is selected, the level value L is incremented in step S9 above. When the level value L reaches 6, the mobile information terminal 40 determines that the menu "1. Jogging" has been completed because the level value L exceeds the maximum level value of 5 in the menu.

In this case, the mobile information terminal 40 subsequently increments the menu number M (step S11).
In the example of FIG. 6(A), the training menu automatically shifts from "1. Jogging" to "Complete 2.5 km." Note that, as described above, it is possible to configure the system so that the user A can select or change the training menu by himself/herself.

Then, the mobile information terminal 40 returns to the process of step S3 and sets the menu number M (M=2 in the above example). Furthermore, since the training menu is a new menu, the level value L is set to 1 in order to start training for the new menu from the lowest level.
In this way, the mobile information terminal 40 sets the training menu (menu number M=2) and level (level value L=1) for the next training (step S3).
Then, in the subsequent process of step S4, the mobile information terminal 40 presents user A with the training content according to the set menu and level when the next training is performed.

As described above, according to the present embodiment, the motion sensor device 10 acquires motion data regarding the motion state of user A during training, and the sleep sensor device 20 acquires motion data regarding the sleep state of user A during sleep after training. Sleep data (body movements and pulse) is acquired and transmitted to the analysis device (mobile information terminal 40). The analysis device (mobile information terminal 40) analyzes the sleep data acquired by the sleep sensor device 20 to calculate information regarding the length of REM sleep (REM sleep time Trem and REM sleep ratio Rrem), and based on the calculated information. to set the next training level (that is, increment the level value L or keep it unchanged). Then, the presentation device (mobile information terminal 40) presents training content to the user in accordance with the level set by the analysis device for the next training.

Therefore, if User A gets enough REM sleep and has mastered the skill of the sport he trained for (running in the above case), he will increase his training level and prepare for his next training session according to that level. By presenting the training content to user A, it becomes possible to have user A perform training at a higher level, and it becomes possible to reliably improve skills in sports training.

In addition, if user A does not have enough REM sleep and has not acquired the skill of the sport he/she trained for, the user A may maintain the training level without increasing it, and train according to that level for the next training. By presenting the content to user A (in this case, presenting the same training content that was presented during the previous training), it is possible to have user A perform training at the relevant level again, and sports training This makes it possible for students to acquire skills reliably.

By the way, it is also possible to configure the exercise support system 1 according to the above embodiment as one device (exercise support device).
In this case, as shown in FIG. 8, the exercise support device 100 includes a motion sensor unit 101 (corresponding to the motion sensor device 10 described above) that acquires motion data regarding the motion state of the user A during training, and A sleep sensor unit 102 (corresponding to the sleep sensor device 20 described above) acquires sleep data regarding the sleep state of user A at the time, and analyzes the sleep data acquired by the sleep sensor unit 102 to obtain information regarding the length of REM sleep. An analysis unit 103 (corresponding to the above-mentioned analysis device (mobile information terminal 40)) that calculates and sets the next training level based on the information regarding the calculated REM sleep length, and It is configured to include a presentation section 104 (corresponding to the above-described presentation device (mobile information terminal 40)) that presents training content to the user A according to the level set by the section 103.

The exercise support device 100 can be configured as a wearable terminal, such as a smart wristband that can be worn on the wrist or the like, or an earphone-type hearable terminal that can be worn on the ear.
In this way, even if the exercise support system 1 according to the embodiment described above is configured as one exercise support device 100, the exercise support device 100 can function in exactly the same way as the exercise support system 1 described above. This makes it possible to accurately demonstrate its excellent effects.

Note that, as shown in FIG. 8, the exercise support device 100 can be configured to have a database 105 corresponding to each of the databases 31 to 33 in the exercise support system 1 described above. Further, similarly to the exercise support system 1 described above, for example, the server 30 on the cloud is provided with each of the databases 31 to 33, and communication is performed between the exercise support device 100 and the server 30 to It is also possible to configure it so that necessary information etc. can be obtained from.

Although the embodiments of the present invention have been described above, it goes without saying that the present invention is not limited to these embodiments and can be modified in various ways without departing from the spirit thereof.

For example, in the exercise support system 1 and exercise support device 100 according to the embodiments described above, when information regarding the length of REM sleep calculated by the analysis device or the analysis unit satisfies a predetermined condition, the training level is immediately improved. I explained the case.
That is, as shown in the flowchart of FIG. 5, for example, when the REM sleep time Trem and the REM sleep ratio Rrem satisfy the conditions in step S8, the level value L is immediately incremented in the next step S9.

However, instead of configuring in this way, for example, if user A performs training and repeats a predetermined number of times that information regarding the length of REM sleep during sleep satisfies a predetermined condition, the level of training can be changed. The level value L may be increased (the level value L is incremented).
With this configuration, it becomes possible for the user A to reliably acquire skills in sports training, and it becomes possible to further improve the skills after reliably acquiring the skills.

In addition, in the exercise support system 1 and the exercise support device 100 according to the embodiments described above, if the information regarding the length of REM sleep calculated by the analysis device or the analysis unit does not satisfy a predetermined condition, the training level is We have explained the case where no improvement is made.
That is, as shown in the flowchart of FIG. 5, if, for example, the REM sleep time Trem and the REM sleep ratio Rrem do not satisfy the conditions of step S8, the next step S9 is skipped, so the level value L is not incremented. Therefore, unless the information regarding the length of REM sleep satisfies a predetermined condition, user A will be trained at the same level.

However, in this case, there is a possibility that user A loses interest and motivation in training and stops training.
Therefore, for example, if a state in which the information regarding the length of REM sleep does not satisfy a predetermined condition is repeated a predetermined number of times, the level value L may be incremented to perform training at the next level. .

Furthermore, when performing training for a certain menu, the configuration is such that the training level within the menu is changed each time training is performed. If the information regarding the length of REM sleep after training at a certain level satisfies a predetermined condition, the training at that level is considered to have been acquired and the training at that level is performed within the menu. It may also be configured such that it is removed from the options for changing the level of.

In this case, the time when all levels in the menu are removed from the options (the time when all the information regarding the length of REM sleep after training for each level in the menu satisfies the predetermined conditions) ), the menu is completed.
With this configuration, the training content changes each time user A performs training, so the same training content is presented continuously, causing user A to lose interest and motivation in training and stop training. It is possible to prevent this, and it becomes possible to have user A train reliably, and it becomes possible to have user A acquire skills or improve skills in sports training.

On the other hand, in the exercise support system 1 and the exercise support device 100 according to the above embodiments, a case has been described in which it is determined whether the REM sleep time Trem and the REM sleep ratio Rrem are equal to or greater than the threshold values Trem_th and Rrem_th, respectively. In addition, for example, as shown in FIG. 9, a threshold Ts_th is also set for the sleep time Ts (see FIG. 7), and it is also determined whether the sleep time Ts is equal to or greater than the threshold Ts_th regarding the sleep time Ts. You can.
If you don't get enough sleep, you may not be able to fully acquire skills even if you train because you may lack concentration. Therefore, by configuring as above, it becomes possible to check whether or not user A trained with sufficient sleep, and if user A trained in that state, the level of training is increased. This makes it possible for user A to reliably acquire skills in sports training and further improve skills.

Although the embodiments of the present invention have been described above, the scope of the present invention is not limited to the above-described embodiments, and includes the scope of the invention described in the claims and its equivalent range.
Below, the invention described in the claims first attached to the application of this application will be added. The claim numbers listed in the supplementary notes are as in the claims originally attached to the request for this application.

[Additional notes]
<Claim 1>
a motion sensor device that acquires motion data regarding the motion state of a user during training;
a sleep sensor device that acquires sleep data regarding a user's sleep state during sleep after training;
an analysis device that analyzes the sleep data acquired by the sleep sensor device, calculates information regarding the length of REM sleep, and sets a next training level based on the calculated information;
a presentation device that presents training content to a user according to the level set by the analysis device for the next training;
An exercise support system comprising:
<Claim 2>
The exercise support system according to claim 1, wherein the presentation device presents the training content to the user before training.
<Claim 3>
3. The exercise support system according to claim 1, wherein the information regarding the length of the REM sleep is a REM sleep time calculated as a total period of REM sleep.
<Claim 4>
According to any one of claims 1 to 3, the information regarding the length of REM sleep is a REM sleep ratio calculated as a ratio of the total period of REM sleep to the sleeping time. exercise support system.
<Claim 5>
a motion sensor unit that acquires motion data regarding the motion state of the user during training;
a sleep sensor unit that acquires sleep data regarding the user's sleep state during sleep after training;
an analysis unit that analyzes the sleep data acquired by the sleep sensor unit, calculates information regarding the length of REM sleep, and sets a next training level based on the calculated information;
a presentation unit that presents training content corresponding to the level set by the analysis unit to the user for the next training;
An exercise support device comprising:
<Claim 6>
Obtaining behavioral data regarding the user's behavioral state during training,
Obtain sleep data regarding the user's sleep state during sleep after training,
Analyzing the acquired sleep data to calculate information regarding the length of REM sleep, and setting a next training level based on the calculated information,
Presenting training content to the user according to the set level for the next training;
An exercise support method characterized by:
<Claim 7>
to the computer,
obtain motion data regarding the motion state of the user during training;
Obtain sleep data regarding the user's sleep state during sleep after training,
Analyzing the acquired sleep data to calculate information regarding the length of REM sleep, and setting the next training level based on the calculated information,
For the next training, the user is presented with training content corresponding to the set level,
An exercise support program characterized by:

1 Exercise support system 10 Movement sensor device 20 Sleep sensor device 40 Mobile information terminal (analysis device, presentation device)
100 Exercise support device 101 Movement sensor section 102 Sleep sensor section 103 Analysis section 104 Presentation section A User L Level value (training level)
M Menu number (training level)
Rrem REM sleep percentage (information about the length of REM sleep, REM sleep percentage)
T1-T4 REM sleep period Trem REM sleep time (information about the length of REM sleep, REM sleep time)
Ts Sleep time

Claims (5)

a motion sensor device that acquires motion data regarding the motion state of a user during training;
a sleep sensor device that acquires sleep data regarding a user's sleep state during sleep after training at a current training level;
an analysis device that analyzes the sleep data acquired by the sleep sensor device, calculates information regarding the length of REM sleep, and sets a next training level based on the calculated information;
a presentation device that presents training content corresponding to the level set by the analysis device to the user for the next training;
Equipped with
The information regarding the length of the REM sleep is calculated as the REM sleep time calculated as the total period of REM sleep and the ratio of the REM sleep time to the sleep time that is the length of the period in which the user was sleeping. at least one with REM sleep percentage;
The analysis device changes the level of the next training from the current training level when the REM sleep time is equal to or greater than the threshold regarding the REM sleep time, or when the REM sleep proportion is equal to or greater than the threshold regarding the REM sleep proportion. This is an exercise support system that can be set by increasing the The exercise support system according to claim 1, wherein the presentation device presents the training content to the user before training. a motion sensor unit that acquires motion data regarding the motion state of the user during training;
a sleep sensor unit that acquires sleep data regarding the user's sleep state during sleep after training at the current training level;
an analysis unit that analyzes the sleep data acquired by the sleep sensor unit, calculates information regarding the length of REM sleep, and sets a next training level based on the calculated information;
a presentation unit that presents training content corresponding to the level set by the analysis unit to the user for the next training;
Equipped with
The information regarding the length of the REM sleep is calculated as the REM sleep time calculated as the total period of REM sleep and the ratio of the REM sleep time to the sleep time that is the length of the period in which the user was sleeping. at least one with REM sleep percentage;
When the REM sleep time is equal to or greater than a threshold regarding REM sleep time, or when the REM sleep proportion is equal to or greater than a threshold regarding REM sleep proportion, the analysis unit changes the level of the next training from the current training level. An exercise support device that can be set by raising the Obtaining behavioral data regarding the user's behavioral state during training,
Obtain sleep data regarding the user's sleep state during sleep after training at the current training level,
The REM sleep time is calculated as the total period of REM sleep by analyzing the acquired sleep data, and the REM sleep time is calculated as the ratio of the REM sleep time to the sleep time , which is the length of the period in which the user was sleeping. Information regarding the length of REM sleep, which is at least one of the sleep ratio, is calculated, and the calculated REM sleep time is greater than or equal to a threshold regarding REM sleep time, or the REM sleep ratio is equal to or greater than a threshold regarding REM sleep ratio. If so, set the next training level higher than the current training level,
Presenting training content to the user according to the set level for the next training,
An exercise support method characterized by: to the computer,
obtain behavioral data regarding the user's operational status during training;
Obtain sleep data regarding the user's sleep state during sleep after training at the current training level,
The REM sleep time is calculated as the total period of REM sleep by analyzing the acquired sleep data, and the REM sleep time is calculated as the ratio of the REM sleep time to the sleep time , which is the length of the period in which the user was sleeping. Information regarding the length of REM sleep, which is at least one of the sleep ratio, is calculated, and the calculated REM sleep time is greater than or equal to a threshold regarding REM sleep time, or the REM sleep ratio is equal to or greater than a threshold regarding REM sleep ratio. If so, set the next training level higher than the current training level,
For the next training, the user is presented with training content corresponding to the set level,
An exercise support program characterized by:

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